PARALLEL RECONSTRUCTION SOFTWARE FOR IN VIVO FLUORESCENCE TOMOGRAPHY

该子项目是利用 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。列出的机构是 研究中心，而研究中心不一定是研究者所在的机构。 (1)集成现有的C（蒙特卡罗模拟）和MATLAB（数据处理和图像重建）编程语言实现的软件。 (2)修改集成软件，使其能够利用PSC的并行计算设施（超级计算机），以显著（约1000）提高自由空间体内荧光断层扫描图像重建的计算性能。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. (1) Integrate existing software implemented in C (Monte Carlo simulation) and MATLAB (data processing and image reconstruction) programming languages. (2) Modify the integated software so that it can utilize parallel computing facilities (supercomputers) at PSC, in order to significantly (on the order of 1000) improve computing performance of image reconstruction in free-space in vivo fluorescence tomography.